Accelerated increase in ferritin levels during menopausal transition as a marker of metabolic health,
Minjeong Kim, Yoosoo Chang, Yoosun Cho, Min-Jung Kwon, Hee-Kyung Joh, Ga-Young Lim, Ria Kwon, Jiin Ahn, Jungeun Park, Kye-Hyun Kim, Jae Keun Yoo and Seungho Ryu, 2025, Scientific Reports, 15, 29311 [link]
Nonlinear functional sufficient dimension reduction via principal fitted components,
Minjee Kim, Yujin Park, Kyongwon Kim and Jae Keun Yoo, 2025, Statistics and Computing, 35, 95 [pdf, link]
On sufficient dimension reduction methods based on a graphical model with non-concave penalty,
Yujin Park, Kyongwon Kim and Jae Keun Yoo, 2025, Statistics and Computing, 35, 94 [pdf, link]
Covariance projective resampling informative predictor subspace for multivariate regression,
Minjee Kim and Jae Keun Yoo, 2025, Journal of the Korean Statistical Society, 54 920-931 [pdf, link]
Reduced-rank mean estimation for projective-resampling informative predictor subspace,
Jeesun Jang, Hakbae Lee and Jae Keun Yoo, 2025, Journal of the Korean Statistical Society, 54 628-642 [pdf, link]
Explainable AI for life insurance risk prediction (written in Korean),
Ar-ram Lee, Jae Keun Yoo and Jae Youn Ahn, 2025, The Korean Journal of Applied Statistics, 38 373-388 [link]
Intensive comparative analysis of likelihood-based dimension reduction methods,
Hyemin Yoo and Jae Keun Yoo, 2025+, Communications for Statistical Applications and Methods, Â 32, 401-415 [link]Â
Projective-resampling minimum average variance estimation for multivariate regression,
Seoyoung Kim and Jae Keun Yoo, 2025, Communications for Statistical Applications and Methods, 32, 365-376 [link]
Pseudonymization's effect on data quality: A study under personal information protection act (written in Korean),
Minjeong Kim and Jae Keun Yoo, 2024, The Korean Journal of Applied Statistics, 37, 381-392 [link]
Using noise filtering and sufficient dimension reduction method on unstructured economic data (written in Korean),
Jae Keun Yoo, Yujin Park and Beomseok Seo, 2024, The Korean Journal of Applied Statistics, 37, 119-138 [link]
Applications of response dimension reduction in large p-small n problems,
Minjee Kim and Jae Keun Yoo, 2024, Communications for Statistical Applications and Methods, 31, 191-202 [link]
MBRDR: R-package for response dimension reduction in multivariate regression,
Heesung Ahn and Jae Keun Yoo, 2024, Communications for Statistical Applications and Methods, 31, 179-189 [link]
Predicting Driver's mental workload using physiological signals: A functional data analysis approach,
Chaeyoung Lee, MinJu Shin, David Eniyandunmo, Alvee Anwar, Eunsik Kim, Kyongwon Kim, Jae Keun Yoo and Chris Lee , 2024, Applied Ergonomics, 118 104274 [pdf, link]
Multivariate probit linear mixed models for multivariate longitudinal binary data,
Kuo-Jung Lee, Chanmin Kim, Jae Keun Yoo and Keunbaik Lee, 2024, Statistics in Medicine, 43 1527-1548 [pdf, link]
Predictive analysis in insurance: An application of generalized linear mixed models,
Rosy Oh, Nayoung Woo, Jae Keun Yoo and Jae Youn Ahn, 2023, Communications for Statistical Applications and Methods, 30, 437-451 [link]
Two variations of cross-distance selection algorithm in hybrid sufficient dimension reduction,
Jae Keun Yoo, 2023, Communications for Statistical Applications and Methods, 30, 179-189 [link]
On a nonlinear extension of the principal fitted component model,
Jun Song, Kyongwon Kim and Jae Keun Yoo, 2023, Computational Statistics and Data Analysis, 182, 107707 [pdf, link]
Projective resampling estimation of informative predictor subspace for multivariate regression,
Sojin Ko and Jae Keun Yoo, 2022, Journal of the Korean Statistical Society, 51, 1117-1131 [pdf, link]
Comprehensive studies of Grassmann manifold optimization and sequential candidate set algorithm in a principal fitted component model,
Chaeyoung Lee and Jae Keun Yoo, 2022, Communications for Statistical Applications and Methods, 29, 721-733 [link]
To Remember My Dear Academic Brother, Xiangrong Yin. Peace in Heaven.
On cross-distance selection algorithm for hybrid sufficient dimension reduction,
Yujin Park, Kyongwon Kim and Jae Keun Yoo, 2022, Computational Statistics and Data Analysis, 176, 107562 [pdf, link]
Note on the estimation of informative predictor subspace and projective-resampling informative predictor subspace (written in Korean),
Jae Keun Yoo, 2022, The Korean Journal of Applied Statistics, 35, 657-666 [link]
Intensive comparison of semi-parametric and non- parametric dimension reduction methods in forward regression,
Minju Shin and Jae Keun Yoo, 2022, Communications for Statistical Applications and Methods, 29, 615-627 [link]
Machine learning approach for study on subway passenger flow,
Yujin Park, Yoonhee Choi, Kyongwon Kim and Jae Keun Yoo, 2022, Scientific Reports, 12, 2754 [link]
Honored in the TOP 100 downloaded Sustainability papers for Scientific Reports in 2022
More on directional regression,
Kyongwon Kim and Jae Keun Yoo, 2021, Communications for Statistical Applications and Methods, 28, 553-562 [link]
Principal selected response reduction in multivariate regression (written in Korean),
Jae Keun Yoo, 2021, The Korean Journal of Applied Statistics: Special issue for celebrating the 50th anniversary of the Korean Statistical Society, 34, 659-669 [link]
SEEDCCA: An integrated R-package for canonical correlation analysis and partial least squares,
Bo-Young Kim, Yunju Im and Jae Keun Yoo, 2021, The R Journal, 13, 7-20 [pdf]
Fused inverse regression with multi-dimensional responses,
Youyoung Cho, Hyoseon Han and Jae Keun Yoo, 2021, Communications for Statistical Applications and Methods, 28, 267-279 [link]
Iterative projection of sliced inverse regression with fused approach,
Hyoseon Han, Youyoung Cho and Jae Keun Yoo, 2021, Communications for Statistical Applications and Methods, 28, 205-215 [link]
Cook’s Fisher Lectureship revisited for semi-supervised data reduction,
Jae Keun Yoo, 2021, Festschrift in Honor of R. Dennis Cook, Fifty Years of Contribution to Statistical Science, 181-192 [pdf]
On hierarchical clustering in sufficient dimension reduction,
Chaeyeon Yoo, Younju Yoo, Hye Yeon Um, Jae Keun Yoo, 2020, Communications for Statistical Applications and Methods, 27, 431-443 [link]
Fused clustering mean estimation of central subspace,
Hye Yeon Um and Jae Keun Yoo, 2020, Journal of the Korean Statistical Society, 49,350-363 [pdf]
Syntactic complexity as a linguistic marker to differentiate mild cognitive impairment from normal aging,
Jee Eun Sung, Sujin Choi, Bora Eom, Jae Keun Yoo, Jee Hyang Jeong, 2020, Journal of Speech, Language, and Hearing Research, 63,1416-1429 [pdf]
Unstructured principal fitted response reduction in multivariate regression,
Jae Keun Yoo, 2019, Journal of the Korean Statistical Society, 48, 561-567 [pdf]
Analysis of microarray right-censored data through fused sliced inverse regression,
Jae Keun Yoo, 2019, Scientific Reports, 9, 15094 [pdf, link]
Note on response dimension reduction for multivariate regression,
Jae Keun Yoo, 2019, Communications for Statistical Applications and Methods, 26, 519-526 [pdf]
On fused dimension reduction in multivariate regression,
Keunbaik Lee, Yuri Choi, Hye Yeon Um, Jae Keun Yoo, 2019, Chemometrics and Intelligent Laboratory Systems, 193, 103828 [pdf]
Modeling of the ARMA random effects covariance matrix in logistic random effects models,
Keunbaik Lee, Hoimin Jung and Jae Keun Yoo, 2019, Statistical Methods and Applications, 28, 281-299 [pdf]
Basis-adaptive selection algorithm in dr-package,
Jae Keun Yoo, 2018, The R Journal, 10,124-132 [pdf]
Case study: Application of fused sliced average variance estimation to near-infrared spectroscopy of biscuit doughs data (written in Korean),
Hye Yeon Um, Sungmin Won, Hyoin An and Jae Keun Yoo, 2018, The Korean Journal of Applied Statistics, 31, 835-842 [link]
On robustness in dimension determination in fused sliced inverse regression,
Jae Keun Yoo and YooNa Cho, 2018, Communications for Statistical Applications and Methods, 25, 513-521 [link]
Partial least squares fusing unsupervised learning,
Jae Keun Yoo, 2018, Chemometrics and Intelligent Laboratory Systems, 175, 82-86 [pdf]
Response dimension reduction: model-based approach,
Jae Keun Yoo, 2018, Statistics : A Journal of Theoretical and Applied Statistics, 52, 409-425 [pdf]
Do we need the constant term in the heterogeneous autoregressive model for forecasting realized volatilities?,
Hyejin Song, Dong Wan Shin, and Jae Keun Yoo, 2018, Communications in Statistics - Simulation and Computation, 47, 63-73 [pdf]
Fused sliced average variance estimation,
Hyoin An, Sungmin Won, and Jae Keun Yoo, 2017, Journal of the Korean Statistical Society, 46, 623-628 [pdf]
Fused sliced inverse regression in survival analysis,
Jae Keun Yoo, 2017, Communications for Statistical Applications and Methods, 24, 533-541 [link]
Verifying identities of plant-based multivitamins using phytochemical fingerprinting in combination with multiple bioassays,
Yeni Kim, Yoon Hee Ahn, Jae Keun Yoo, Kyung Sik Park, Oran Kwon, 2017, Plant Foods for Human Nutrition, 72, 288-293 [pdf]
Dimension test approach of heteroscedasticity in linear model,
Keunbaik Lee, Hyejin Song, and Jae Keun Yoo, 2017, Communications in Statistics - Simulation and Computation, 46, 4356-4366 [pdf]
Intensive numerical studies of optimal sufficient dimension reduction with singularity,
Jae Keun Yoo, Da-Hae Gwak and Min-Sun Kim, 2017, Communications for Statistical Applications and Methods, 24, 303-315 [link]
Effects of age, working memory, and word order on passive-sentence comprehension: evidence from a verb-final language,
Jee Eun Sung, Jae Keun Yoo, Soo Eun Lee and Bora Eom, 2017, International Psychogeriatrics, 29, 939-948 [pdf]
Sufficient dimension reduction through informative predictor subspace,
Jae Keun Yoo, 2016, Statistics : A Journal of Theoretical and Applied Statistics, 50, 1086-1099 [pdf]
Dimension reduction for right-censored survival regression: Transformation approach,
Jae Keun Yoo, Sung-Jin Kim, Bi-Seul Seo, Hyejung Shin and Su-Ah, Sim, 2016, Communications for Statistical Applications and Methods, 23, 259-268 [link]
Case studies: Statistical analysis of contributions of vitamins and phytochemicals to antioxidant activities in plant-based multivitamins through generalized partially double-index model,
Jae Keun Yoo and Oran Kwon, 2016, Communications for Statistical Applications and Methods, 23, 251-258 [link]
Tutorial: Methodologies for sufficient dimension reduction in regression,
Jae Keun Yoo, 2016, Communications for Statistical Applications and Methods, 23, 105-117 [link]
Tutorial: Dimension reduction in regression with a notion of sufficiency,
Jae Keun Yoo, 2016, Communications for Statistical Applications and Methods, 23, 93-103 [llink]
Generalized partially double-index model: Bootstrapping and distinguishing values,
Jae Keun Yoo, 2015, Communications for Statistical Applications and Methods, 22, 305-312 [link]
The use of joint hierarchical generalized linear models: application to the multivariate longitudinal data (written in Korean),
Donghwan Lee and Jae Keun Yoo, 2015, The Korean Journal of Applied Statistics, 28, 335-342 [link]
A note on bootstrapping in sufficient dimension reduction,
Jae Keun Yoo and Sun Jeong, 2015, Communications for Statistical Applications and Methods, 22, 285-294 [link]
High-throughput data dimension reduction via seeded canonical correlation analysis,
Yunju Im, HeyIn Gang, and Jae Keun Yoo, 2015, Journal of Chemometrics, 29, 193-199 [pdf]
A theoretical note on optimal sufficient dimension reduction with singularity,
Jae Keun Yoo, 2015, Statistics and Probability Letters, 99, 109-113 [pdf]
A study on prediction for attendances of Korean probaseball games using covariates (written in Korean),
Ga-Hee Han, Jigyu Chung and Jae Keun Yoo, 2014, Journal of the Korean Data & Information Science Society, 25, 1481-1489 [link]
Multivariate seeded dimension reduction,
Jae Keun Yoo and Yunju Im, 2014, Journal of the Korean Statistical Society, 43, 559-566 [pdf]
Bayesian cholesky factor models in random effects covariance matrix for generalized linear mixed models,
Keunbaik Lee and Jae Keun Yoo, 2014, Computational Statistics and Data Analysis, 80, 111-116 [pdf]
Canonical correlation analysis through linear modeling,
Keunbaik Lee and Jae Keun Yoo, 2014, Australian and New Zealand Journal of Statistics, 56, 59-72 [pdf]
Method-free permutation predictor hypothesis tests in sufficient dimension reduction,
Kyungjin Lee, Suji Oh and Jae Keun Yoo, 2013, Communications for Statistical Applications and Methods, 20, 291-300 [link]
Permutation predictor tests in linear regression,
Hye Min Ryu, Min Ah Woo, Kyungjin Lee, and Jae Keun Yoo, 2013, Communications for Statistical Applications and Methods, 20, 147-155 [link]
Advances in seeded dimension reduction: Bootstrap criteria and extensions,
Jae Keun Yoo, 2013, Computational Statistics and Data Analysis, 60, 70-79 [pdf]
Theoretical view of envelope model for multivariate linear regression as response dimension reduction,
Jae Keun Yoo, 2013, Journal of the Korean Statistical Society, 42, 143-148 [pdf]
Chi-squared tests in kth-moment sufficient dimension reduction,
Jae Keun Yoo, 2013, Journal of Statistical Computation and Simulation, 83, 191-201 [pdf]
Canonical correlation: Permutation tests and regression,
Jae Keun Yoo, Hee Youn Kim and Hye Yeon Um, 2012, Communications of the Korean Statistical Society, 19, 471-478 [link]
Modeling the random effects covariance matrix for the generalized linear mixed models,
Keunbaik Lee, JungBok Lee, Joseph Hagan and Jae Keun Yoo, 2012, Computational Statistics and Data Analysis, 56, 1545-1551 [pdf]
Model-free predictor tests in survival regression through sufficient dimension reduction,
Jae Keun Yoo and Keunbaik Lee, 2011, Lifetime Data Analysis, 17, 433-444 [pdf]
Modeling microRNA-mRNA interactions using PLS regression in human colon cancer,
Xiaohong Li, Ryan Gill, Nigel G. F. Cooper, Jae Keun Yoo and Susmita Datta, 2011, BMC Medical Genomics, 4:44, [pdf]
A short note on empirical penalty term study of BIC in K-means Clustering inverse regression,
Ji Hyun Ahn and Jae Keun Yoo, 2011, Communications of the Korean Statistical Society, 18, 267-275 [link]
Unified predictor hypothesis tests in sufficient dimension reduction: Bootstrap approach,
Jae Keun Yoo, 2011, Journal of the Korean Statistical Society, 40, 217-225 [pdf]
Do group audiologic rehabilitation activities influence psychosocial outcomes?,
Jill E. Preminger and Jae Keun Yoo, 2010, American Journal of Audiology, 19, 109-125 [pdf]
Integrated partial sufficient dimension reduction with heavily unbalanced categorical predictors,
Jae Keun Yoo, 2010, The Korean Journal of Applied Statistics, 23, 977-985 [link]
On the extension of sliced average variance estimation to multivariate regression,
Jae Keun Yoo, Keunbaik Lee, and Seongho Wu, 2010, Statistical Methods and Applications, 19, 529-540 [pdf]
OLS-based predictor test in single index model to predict transcription rate by histone acetylation level,
Jae Keun Yoo, Becky S. Patterson, and Susmita Datta, 2009, Statistics and Probability Letters, 79, 2109-2114 [pdf]
Marginalized random effects models for multivariate longitudinal binary data,
Keunbaik Lee, Yongsung Joo, Jae Keun Yoo, and JungBok Lee, 2009, Statistics in Medicine ,28, 1284-1300 [pdf]
Iterative optimal sufficient dimension reduction for the conditional mean in multivariate regression,
Jae Keun Yoo, 2009, Journal of Data Science, 7, 267-276 [pdf]
Partial moment-based sufficient dimension reduction,
Jae Keun Yoo, 2009, Statistics and Probability Letters, 79, 450-456 [pdf]
Response dimension reduction for the conditional mean in multivariate regression,
Jae Keun Yoo and R. Dennis Cook, 2008, Computational Statistics and Data Analysis, 53, 334-343 [pdf]
Sufficient dimension reduction for the conditional mean in multivariate regression with categorical predictors,
Jae Keun Yoo, 2008, Journal of Multivariate Analysis, 99, 1825-1839 [pdf]
A Novel moment-based dimension reduction approach in multivariate regression,
Jae Keun Yoo, 2008, Computational Statistics and Data Analysis, 52, 3843-3851 [pdf]
Optimal sufficient dimension reduction for the conditional mean in multivariate regression,
Jae Keun Yoo and R. Dennis Cook, 2007, Biometrika, 94, 231-242 [pdf]